Datasets which are made publicly available must undergo a process of anonymization to ensure that information about who made the transactions cannot be inferred. A typical method for anonymization is Principal Component Analysis (PCA) [1]}. Some prior works use anonymized, publicly available datasets [2]}, and others use private commercial datasets [3]}. A simulator for CC fraud data has also recently been implemented [4]}, which holds potential to enable further testing of models on generated data.
